Welcome to Adwait's Homepage

Adwait Jog, Ph.D. (Penn State)    Assistant Professor    Department of Computer Science    William & Mary    McGlothlin-Street Hall 111    Williamsburg, VA 23187     ajog@wm.edu, Google Scholar Profile

About

I am an assistant professor in the Department of Computer Science at William & Mary in Virginia, USA. At William & Mary, I am leading the Insight Computer Architecture Lab. Our goal is to generate insights necessary in order to architect future computers that are more energy-efficient, capable, reliable, and secure.

I am always looking for self-motivated students to join my lab. Interested students can email me with questions. If you are not at William & Mary, please formally apply to the Ph.D. program at CS department.

A high-level summary of my group's research can be found here and here.

Recent and Selected Publications (complete list)

• (SIGMETRICS 2021) SUGAR: Speeding Up GPGPU Application Resilience Estimation with Input Sizing

• (HPCA 2021) Analyzing and Leveraging Decoupled L1 Caches in GPUs

• (PACT 2020) Analyzing and Leveraging Shared L1 Caches in GPUs

• (ASPLOS 2020) Why GPUs are Slow at Executing NFAs and How to Make them Faster

• (HPCA 2020) BCoal: Bucketing-based Memory Coalescing for Efficient and Secure GPUs

• (PACT 2019) Analyzing and Leveraging Remote-core Bandwidth for Enhanced Performance in GPUs

• (DSN 2019) Exploiting Latency and Error Tolerance of GPGPU Applications for an Energy-efficient DRAM

• (ICS 2019) Address-Stride Assisted Approximate Value Prediction in GPUs

• (ISCA 2019) Opportunistic Computing in GPU Architectures

• (SIGMETRICS 2019) Quantifying Data Locality in Dynamic Parallelism in GPUs

• (MICRO 2018) Architectural Support for Efficient Large-Scale Automata Processing

• (MICRO 2018) Fault Site Pruning for Practical Reliability Analysis of GPGPU Applications

• (HPCA 2018) Efficient and Fair Multi-programming in GPUs via Effective Bandwidth Management

• (HPCA 2018) RCoal: Mitigating GPU Timing Attack via Subwarp-based Randomized Coalescing Techniques

• (ASPLOS 2018) MASK: Redesigning the GPU Memory Hierarchy to Support Multi-Application Concurrency

Research Funding

My research group is supported by the following research grants:

• DOE/ANL Funding. Thanks ANL!

• NSF CAREER Award 2018. News in the Media. Thanks NSF!

• NSF SHF Award 2017. Thanks NSF!

• NSF CRII Award 2017. Thanks NSF!

• NVIDIA Equipment Donation. Thanks NVIDIA!

Currently Teaching (complete list)

• Spring 2021: CSCI 424/524, Computer Architecture (undergraduate course)

Recent Committees (complete list)

• Organization Committees: PACT 2020 (ACM SRC chair), GPGPU 2020 (Workshop co-chair), MICRO 2019 (Publicity co-chair), CGO 2019 (Publicity chair), GPGPU 2019 (Workshop co-chair)

• Program Committees: ISCA 2021, DSN 2021, HPCA 2021, HPCA 2020, MICRO 2020 (ERC), ISCA 2020 (ERC), ASPLOS 2020 (ERC), MICRO 2019, SIGMETRICS 2019, ICCD 2019, HPDC 2019, HPCA 2019 (ERC), NAS 2019.

• W&M Committees (2020-21): Graduate Admissions, Graduate Curriculum, CS Colloquiums, Pre-major advising